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Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation
The rapid growth of Cloud Computing (CC) has increased the variety of computing resources, storage, and communication services that pose significant...
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BNN-SAM: Improving generalization of binary object detector by Seeking Flat Minima
Binary Neural Network (BNN) exhibits substantial potential for low-cost and energy-efficient deployment, notably in the application of...
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Leg Detection for Socially Assistive Robots: Differentiating Multiple Targets with 2D LiDAR
While socially assistive robots working in environments with a lot of people walking and obstructions, LiDAR-based detectors may have trouble...
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D-LSD: A Distorted Line Segment Detector for Calibrated Images
In this paper, we present an algorithm for the detection of line segments directly on the original, distorted images captured by calibrated...
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Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels
To identify anomalous subsequences in time series, it is a common practice to convert them into a set of features prior to the use of an anomaly...
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An automatic MRI brain image segmentation technique using edge–region-based level set
Digital transformation has brought radical changes in several domains. Particularly, image processing techniques have been generally used in medical,...
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Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection
During the forward pass of Deep Neural Networks (DNNs), inputs gradually transformed from low-level features to high-level conceptual labels. While...
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Visibility-Based Imaging Methods
As emphasized in many places above, RHESSI and STIX are “Fourier imagers”—the native form of the data is a set of spatial Fourier components, deduced...
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Iris segmentation for non-ideal Iris biometric systems
At present, iris recognition systems are highly demanded for covert applications such as monitoring terrorist activities at public places,...
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Densely Constrained Depth Estimator for Monocular 3D Object Detection
Estimating accurate 3D locations of objects from monocular images is a challenging problem because of lacking depth. Previous work shows that...
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Lightweight group authentication protocol for secure RFID system
Nowadays, wireless technology has been widely used in healthcare and communication systems. It makes our life easier in all respects. A...
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ADMM algorithm for some regularized Perona–Malik equation and applications to image denoising
In this paper, we propose a new approach for solving the proposed variational model derived from Perona–Malik (PM) equation. This problem is the...
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Introduction
In this chapter, we introduce the basic information of infrared imaging and the research status of infrared small target detection. At the same time,...
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Video Coding for Machines Based on Motion Assisted Saliency Analysis
With an increasing amount of video content analyzed automatically by computer vision algorithms, video coding for machines has received growing...
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Count-Based Imaging Methods
Analysis of the RHESSI and STIX data requires some novel tools, all tailored to, and indeed in many cases optimized for, the construction of an image...
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Review and evaluation of player detection methods in field sports
In order to analyse field sport videos, accurate player detection is essential. If players’ positions are identified correctly in video frames, the...
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Constrained Energy Minimization for Hyperspectral Multi-target Detection Based on Ensemble Learning
The traditional hyperspectral target detection usually recognizes a single type of object at one time. However, there are usually various categories...
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Occluded Gait reconstruction in multi person Gait environment using different numerical methods
Gait biometrics have been a topic of profound interest in recent years. To generate the walking trajectory for robots, humans are traced and modelled...
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DSC-OpenPose: A Fall Detection Algorithm Based on Posture Estimation Model
The fall events in crowded places are prone to public safety problems, where real-time monitoring and early warning of falls can reduce the safety...
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Structurally incoherent adaptive weighted low-rank matrix decomposition for image classification
To address image classification challenges caused by noisy disturbances, we propose a new algorithm called structurally incoherent adaptive weighted...
